AI and machine learning for software engineers — practical applications, architecture patterns, and honest assessment of what works.
The OCR engine returned a string where every O is a zero, every filler character is a K, and someone's date of birth starts with a letter. Part II is about building the second machine — the one that takes the first machine's best effort and systematically fixes its predictable mistakes.
Here's a fun weekend project idea: build an app that scans ID documents. The answer, which you will discover approximately forty-five minutes in, is unreasonably hard. Not because the pieces are complicated — because the moment you connect them, they conspire against you.
A manager discovered AI and made it his answer to everything. $1.3 million, 47 database crashes, and 3,000 pages of useless docs later, only Janet from QA survived—saying exactly what she'd said since 2017.
Software used to be something you wrote. Now it's something you negotiate with. AI-native architectures replace traditional request-response patterns with autonomous agents, intent-driven orchestration, and systems that learn while they run. Here's what that actually looks like in practice.
A developer's survival story from the AI panic of 2024-2025. Discover the truth about AI in programming, testing, and why human skills still matter.
